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The bivariate method is a statistical method designed specifically for diagnostic data and its use will allow us to estimate the degree of correlation between sensitivity and specificity and thus provide information about heterogeneity and the possibility if an implicit threshold [ 22, 29].
This sample size will allow us to estimate the reduction in antibiotic use between the two arms to within ± 6%.
The method does not require us to use true parameter values in the first step of parameter estimation and provides calculated results close to the behavior of the time-series data of metabolite concentrations, which will allow us to estimate better parameter values and then construct a useful mathematical model to analyze metabolic reaction systems.
We will use a flexible extension of the Cox model [ 46], which will allow us to estimate how the HR reduction due to intervention changes over time, if the proportional hazard assumption (that the intervention effect remains constant over time) is rejected.
"This will allow us to estimate both whether the amount of forage in a given habitat is sufficient and also whether it is nutritionally 'complete'," explains Wright.
With the advantages of modern technologies, adopting an approach that combines subjective mood ratings and objective data will allow us to estimate the risk of recurrence and to guide an effective and tailored treatment for patients with mood disorders.
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We aim to recruit 100 participants which will also allow us to estimate the likely effect size of the intervention on a range of outcome measures.
This will still not allow us to estimate the absolute transcription rate values, but they are estimated proportional to the same copy number distribution and so can be compared with each other.
Identifying combinations of inherited variants that predispose to breast cancer will allow us to better estimate risk in families with breast cancer and help to characterise defective signalling pathways.
Especially, we expect to gather data on the treatment volumes and patient-level data (some characteristics like sex, age, diagnosis, and zip-code), which will allow us to extend the estimated models along the lines of Capps et al. [ 6] and Antwi et al. [ 2].
In addition it will allow us to determine an estimate of error rates in our sample acquisition.
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